Existing amodal perception datasets [1]}, [2]}, [3]} mostly focus on amodal segmentation of common objects (e.g. , vehicles, buildings, and indoor objects). To the best of our knowledge, there exists no dataset that targets at amodal segmentation and appearance content recovery of interactive hands. To fill in this blank, we synthetically generate the first large-scale Amodal InterHand dataset, namely AIH dataset. We envision that the proposed dataset will boost the related research, e.g. amodal perception, de-occlusion, and hand pose estimation.
